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. Author manuscript; available in PMC: 2022 May 1.
Published in final edited form as: Chemosphere. 2021 Feb 2;271:129828. doi: 10.1016/j.chemosphere.2021.129828

Table 1.

Distribution of demographics, lifestyle factors, and GDM history for cases and controls.

Variables Cases (n = 64)
N (%)
Controls (n = 237)
N (%)
P-valuec
Age (years) < 0.01
 < 25 18 (28.1) 134 (56.5)
 25 – 29 12 (18.8) 63 (26.6)
 30 – 34 24 (37.5) 24 (10.1)
 ≥ 35 10 (15.6) 16 (6.8)
Race/Ethnicity < 0.01
 Non-Hispanic White 16 (25.0) 70 (29.5)
 African American 6 (9.4) 79 (33.3)
 Hispanic 40 (62.5) 70 (29.5)
 Other 2 (3.1) 18 (7.6)
Educational level 0.02
 Less than high school 32 (50.0) 73 (30.8)
 High school 18 (28.1) 89 (37.6)
 More than high school 14 (21.9) 75 (31.7)
Annual household income 0.45
 ≤ $9,999 26 (40.6) 117 (49.4)
 $10,000 – $29,999 31 (48.4) 96 (40.5)
 ≥ $30,000 7 (10.9) 24 (10.1)
Pre-pregnancy BMI (kg/m2)a < 0.01
 Normal (≤ 24.99) 13 (20.6) 107 (45.5)
 Overweight (25.0–29.99) 17 (27.0) 52 (22.1)
 Obese (≥ 30.0) 33 (52.4) 76 (32.3)
Active smokerb 0.04
 No 55 (85.9) 175 (73.8)
 Yes 9 (14.1) 62 (26.2)
Parity 0.62
 0 13 (20.3) 55 (23.2)
 ≥1 51 (79.7) 182 (76.8)
Self-reported history of GDM < 0.01
 Nulliparous 13 (20.3) 55 (23.2)
 Parous without GDM history 35 (54.7) 173 (73.0)
 Parous with GDM history 16 (25.0) 9 (3.8)
a

Pre-pregnancy BMI data was missing for one case and two controls.

b

Self-reported currently smoking or urinary cotinine over 15 ng/mL for active smoker.

c

P-value based on chi-square test.